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Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation) free ebook download

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Computer Science

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Author(s):	Rick Riolo

Date:	2013	Format:	pdf	Language:	English	ISBN/ASIN:	1461468450
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	tvladb77	Upload Date:	3/21/2022 3:54:19 PM

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These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of  injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode  (2) Issues on model validation  (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis  (4) Issues in combining different types of data.

Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3105845	Book	https://novafile.com/file/1432grh0dh2p...		0.00	tvladb77

Tags: Computation Evolutionary Genetic Practice Programming Theory

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Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation) free ebook download

Category: Computer Science

Description: Click to see full description

Category:
Computer Science